Ming Ni

404 citations
9 papers · 330 · h-index 5

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • interferon and immune responses

Papers in

    • Immune Response and Inflammation 3
    • Immunotherapy and Immune Responses 1
    • Organ Transplantation Techniques and Outcomes 4

Ming Ni

9 papers receiving 329 citations

Peers

Ming Ni
Comparison fields: 5 of 52
  • Hepatology 56
  • Immunology 90
  • Surgery 121
  • Transplantation 7
  • Cancer Research 29
Replace Takanori Konishi with:
Takanori Konishi Japan
Heather L. Van Sweringen United States
Yusuke Tsuchimoto Japan
Kisha Mitchell-Richards United States
Jiequn Li China
Yamin Zhang China
Emelie Barreby Sweden
Brian Ko United States
Andreas Nellen Germany
Jai‐Nien Tung Taiwan
Ming Ni relative to Takanori Konishi Japan Takanori Konishi's profile →
Citations per field
00.5×3.5×
Takanori Konishi · 1×
Citations per year

Countries citing papers authored by Ming Ni

Since Specialization
Citations

This map shows the geographic impact of Ming Ni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ni more than expected).

Fields of papers citing papers by Ming Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Ni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Ni. The network helps show where Ming Ni may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Ni Line = papers co-authored together Ming Ni links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2016145
2 201870
3 202159
4 202027
5 202219
6 20204
7
Toxicity test of different kinds of insecticides to Lymantria dispar and Apocheima cinerarius.
20093
8 20192
9 20141

About Ming Ni

Ming Ni is a scholar working on Immunology, Surgery, Oncology, Epidemiology and Molecular Biology, having authored 9 papers that have together received 330 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (4 papers), Immune Response and Inflammation (3 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Insect Utilization and Effects (1 paper), Mycobacterium research and diagnosis (1 paper), Immunotherapy and Immune Responses (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Agricultural Practices and Plant Genetics (1 paper). The work is most often cited by research in Hepatology (56 citations), Immunology (90 citations), Surgery (121 citations), Transplantation (7 citations) and Cancer Research (29 citations). Ming Ni has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ronald W. Busuttil, Yuan Zhai, Jerzy W. Kupiec‐Weglinski, Xuehao Wang, Haoming Zhou, Ling Lü, Han Wang, Dan Jin, Yongxiang Xia and Jing Zhang. Their work appears in journals such as Blood, Journal of Hepatology, Hepatology Communications, Hepatology and JCI Insight.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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